renaissance-movie-lens_0
[2026-01-20T23:27:43.838Z] Running test renaissance-movie-lens_0 ...
[2026-01-20T23:27:43.838Z] ===============================================
[2026-01-20T23:27:43.838Z] renaissance-movie-lens_0 Start Time: Tue Jan 20 23:27:43 2026 Epoch Time (ms): 1768951663154
[2026-01-20T23:27:43.838Z] variation: NoOptions
[2026-01-20T23:27:43.838Z] JVM_OPTIONS:
[2026-01-20T23:27:43.838Z] { \
[2026-01-20T23:27:43.838Z] echo ""; echo "TEST SETUP:"; \
[2026-01-20T23:27:43.838Z] echo "Nothing to be done for setup."; \
[2026-01-20T23:27:43.838Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689498893637/renaissance-movie-lens_0"; \
[2026-01-20T23:27:43.838Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689498893637/renaissance-movie-lens_0"; \
[2026-01-20T23:27:43.838Z] echo ""; echo "TESTING:"; \
[2026-01-20T23:27:43.838Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689498893637/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-01-20T23:27:43.838Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689498893637/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-01-20T23:27:43.838Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-01-20T23:27:43.838Z] echo "Nothing to be done for teardown."; \
[2026-01-20T23:27:43.838Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17689498893637/TestTargetResult";
[2026-01-20T23:27:43.838Z]
[2026-01-20T23:27:43.838Z] TEST SETUP:
[2026-01-20T23:27:43.838Z] Nothing to be done for setup.
[2026-01-20T23:27:43.838Z]
[2026-01-20T23:27:43.838Z] TESTING:
[2026-01-20T23:28:51.174Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2026-01-20T23:29:07.478Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-01-20T23:29:07.478Z] Training: 60056, validation: 20285, test: 19854
[2026-01-20T23:29:07.478Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-01-20T23:29:07.478Z] GC before operation: completed in 129.988 ms, heap usage 439.030 MB -> 75.607 MB.
[2026-01-20T23:29:13.150Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:29:17.198Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:29:20.147Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:29:23.614Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:29:25.222Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:29:26.834Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:29:29.407Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:29:31.937Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:29:31.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:29:31.937Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:29:32.715Z] Top recommended movies for user id 72:
[2026-01-20T23:29:32.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:29:32.716Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:29:32.716Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:29:32.716Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:29:32.716Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:29:32.716Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25480.042 ms) ======
[2026-01-20T23:29:32.716Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-01-20T23:29:32.716Z] GC before operation: completed in 164.149 ms, heap usage 489.360 MB -> 88.968 MB.
[2026-01-20T23:29:36.178Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:29:38.686Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:29:50.499Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:29:53.006Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:29:55.512Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:29:57.145Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:29:59.754Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:30:01.363Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:30:01.363Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:30:01.363Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:30:01.363Z] Top recommended movies for user id 72:
[2026-01-20T23:30:01.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:30:01.363Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:30:01.363Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:30:01.363Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:30:01.363Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:30:01.363Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (29212.050 ms) ======
[2026-01-20T23:30:01.363Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-01-20T23:30:02.151Z] GC before operation: completed in 147.922 ms, heap usage 862.145 MB -> 93.428 MB.
[2026-01-20T23:30:04.664Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:30:08.126Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:30:11.600Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:30:15.067Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:30:16.687Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:30:18.296Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:30:19.910Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:30:21.532Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:30:22.316Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:30:22.316Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:30:22.316Z] Top recommended movies for user id 72:
[2026-01-20T23:30:22.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:30:22.316Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:30:22.316Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:30:22.316Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:30:22.316Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:30:22.316Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20478.192 ms) ======
[2026-01-20T23:30:22.316Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-01-20T23:30:22.316Z] GC before operation: completed in 149.180 ms, heap usage 2.234 GB -> 96.616 MB.
[2026-01-20T23:30:25.776Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:30:28.278Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:30:31.768Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:30:35.222Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:30:36.898Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:30:38.525Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:30:41.034Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:30:43.584Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:30:43.584Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:30:43.584Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:30:44.364Z] Top recommended movies for user id 72:
[2026-01-20T23:30:44.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:30:44.364Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:30:44.364Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:30:44.364Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:30:44.364Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:30:44.364Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21236.750 ms) ======
[2026-01-20T23:30:44.364Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2026-01-20T23:30:44.364Z] GC before operation: completed in 157.296 ms, heap usage 1.000 GB -> 94.862 MB.
[2026-01-20T23:30:46.875Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:30:49.382Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:31:05.670Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:31:08.175Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:31:10.701Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:31:13.257Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:31:15.759Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:31:17.369Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:31:18.146Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:31:18.146Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:31:18.146Z] Top recommended movies for user id 72:
[2026-01-20T23:31:18.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:31:18.146Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:31:18.146Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:31:18.146Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:31:18.146Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:31:18.146Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (34165.399 ms) ======
[2026-01-20T23:31:18.146Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2026-01-20T23:31:18.146Z] GC before operation: completed in 159.888 ms, heap usage 1.886 GB -> 96.487 MB.
[2026-01-20T23:31:21.606Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:31:24.097Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:31:27.579Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:31:31.068Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:31:32.699Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:31:34.323Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:31:35.935Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:31:38.444Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:31:38.444Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:31:38.444Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:31:38.444Z] Top recommended movies for user id 72:
[2026-01-20T23:31:38.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:31:38.444Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:31:38.445Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:31:38.445Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:31:38.445Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:31:38.445Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20238.375 ms) ======
[2026-01-20T23:31:38.445Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2026-01-20T23:31:38.445Z] GC before operation: completed in 160.976 ms, heap usage 2.352 GB -> 97.277 MB.
[2026-01-20T23:31:41.920Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:31:44.435Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:31:47.907Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:31:51.365Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:31:52.975Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:31:54.584Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:31:57.092Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:31:58.703Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:31:59.583Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:31:59.583Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:31:59.583Z] Top recommended movies for user id 72:
[2026-01-20T23:31:59.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:31:59.583Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:31:59.583Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:31:59.583Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:31:59.583Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:31:59.583Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20842.800 ms) ======
[2026-01-20T23:31:59.583Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2026-01-20T23:31:59.583Z] GC before operation: completed in 150.092 ms, heap usage 139.352 MB -> 91.012 MB.
[2026-01-20T23:32:03.050Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:32:05.556Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:32:11.308Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:32:12.929Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:32:15.431Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:32:17.044Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:32:25.493Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:32:27.118Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:32:27.904Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:32:27.904Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:32:27.904Z] Top recommended movies for user id 72:
[2026-01-20T23:32:27.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:32:27.904Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:32:27.904Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:32:27.904Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:32:27.904Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:32:27.904Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28349.484 ms) ======
[2026-01-20T23:32:27.904Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2026-01-20T23:32:27.904Z] GC before operation: completed in 171.112 ms, heap usage 3.566 GB -> 101.446 MB.
[2026-01-20T23:32:31.393Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:32:33.901Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:32:38.604Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:32:41.106Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:32:42.761Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:32:44.373Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:32:46.878Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:32:48.509Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:32:49.287Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:32:49.287Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:32:49.287Z] Top recommended movies for user id 72:
[2026-01-20T23:32:49.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:32:49.287Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:32:49.287Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:32:49.287Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:32:49.287Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:32:49.287Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21256.897 ms) ======
[2026-01-20T23:32:49.287Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2026-01-20T23:32:49.287Z] GC before operation: completed in 151.432 ms, heap usage 357.277 MB -> 91.113 MB.
[2026-01-20T23:32:52.765Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:32:55.262Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:32:59.769Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:33:03.267Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:33:04.882Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:33:06.493Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:33:09.001Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:33:10.613Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:33:10.613Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:33:10.613Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:33:11.393Z] Top recommended movies for user id 72:
[2026-01-20T23:33:11.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:33:11.393Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:33:11.393Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:33:11.393Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:33:11.393Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:33:11.393Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21619.602 ms) ======
[2026-01-20T23:33:11.393Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2026-01-20T23:33:11.393Z] GC before operation: completed in 154.358 ms, heap usage 106.831 MB -> 96.565 MB.
[2026-01-20T23:33:13.938Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:33:17.687Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:33:21.146Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:33:24.577Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:33:26.188Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:33:27.807Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:33:37.764Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:33:41.235Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:33:41.235Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:33:41.235Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:33:41.235Z] Top recommended movies for user id 72:
[2026-01-20T23:33:41.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:33:41.235Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:33:41.235Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:33:41.235Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:33:41.235Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:33:41.235Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (30037.626 ms) ======
[2026-01-20T23:33:41.235Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2026-01-20T23:33:41.235Z] GC before operation: completed in 160.923 ms, heap usage 1.252 GB -> 95.762 MB.
[2026-01-20T23:33:44.719Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:33:48.183Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:33:56.569Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:34:00.044Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:34:01.695Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:34:03.304Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:34:06.785Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:34:08.403Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:34:08.403Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:34:08.403Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:34:09.180Z] Top recommended movies for user id 72:
[2026-01-20T23:34:09.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:34:09.180Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:34:09.180Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:34:09.180Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:34:09.180Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:34:09.180Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27319.725 ms) ======
[2026-01-20T23:34:09.180Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2026-01-20T23:34:09.180Z] GC before operation: completed in 165.182 ms, heap usage 1.103 GB -> 95.698 MB.
[2026-01-20T23:34:11.689Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:34:15.158Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:34:25.850Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:34:25.850Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:34:27.472Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:34:29.085Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:34:36.020Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:34:38.539Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:34:38.539Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:34:38.539Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:34:38.539Z] Top recommended movies for user id 72:
[2026-01-20T23:34:38.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:34:38.539Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:34:38.539Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:34:38.539Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:34:38.539Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:34:38.539Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (29771.843 ms) ======
[2026-01-20T23:34:38.539Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2026-01-20T23:34:38.539Z] GC before operation: completed in 166.894 ms, heap usage 985.419 MB -> 95.274 MB.
[2026-01-20T23:34:42.029Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:34:50.428Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:34:56.110Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:34:58.621Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:35:01.554Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:35:03.169Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:35:04.803Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:35:06.426Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:35:07.205Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:35:07.205Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:35:07.205Z] Top recommended movies for user id 72:
[2026-01-20T23:35:07.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:35:07.205Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:35:07.205Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:35:07.205Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:35:07.205Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:35:07.205Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28336.238 ms) ======
[2026-01-20T23:35:07.205Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2026-01-20T23:35:07.205Z] GC before operation: completed in 154.042 ms, heap usage 1.154 GB -> 95.792 MB.
[2026-01-20T23:35:10.671Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:35:13.171Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:35:18.840Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:35:21.342Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:35:22.963Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:35:25.487Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:35:29.986Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:35:32.513Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:35:32.513Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:35:32.513Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:35:32.513Z] Top recommended movies for user id 72:
[2026-01-20T23:35:32.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:35:32.513Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:35:32.513Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:35:32.513Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:35:32.513Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:35:32.513Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (25208.387 ms) ======
[2026-01-20T23:35:32.513Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2026-01-20T23:35:32.513Z] GC before operation: completed in 158.340 ms, heap usage 815.226 MB -> 95.165 MB.
[2026-01-20T23:35:35.972Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:35:39.431Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:35:43.935Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:35:46.442Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:35:48.977Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:35:50.593Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:35:57.539Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:35:59.163Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:35:59.163Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:35:59.163Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:35:59.948Z] Top recommended movies for user id 72:
[2026-01-20T23:35:59.948Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:35:59.948Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:35:59.948Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:35:59.948Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:35:59.948Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:35:59.948Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (26860.975 ms) ======
[2026-01-20T23:35:59.948Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2026-01-20T23:35:59.948Z] GC before operation: completed in 156.682 ms, heap usage 1.483 GB -> 96.462 MB.
[2026-01-20T23:36:03.540Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:36:06.998Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:36:12.752Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:36:15.272Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:36:18.736Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:36:20.355Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:36:23.739Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:36:25.361Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:36:25.361Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:36:25.361Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:36:25.361Z] Top recommended movies for user id 72:
[2026-01-20T23:36:25.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:36:25.361Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:36:25.361Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:36:25.361Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:36:25.361Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:36:25.361Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25658.814 ms) ======
[2026-01-20T23:36:25.361Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2026-01-20T23:36:25.361Z] GC before operation: completed in 152.235 ms, heap usage 860.511 MB -> 95.062 MB.
[2026-01-20T23:36:28.822Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:36:31.321Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:36:37.056Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:36:39.550Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:36:41.155Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:36:43.661Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:36:47.138Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:36:48.747Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:36:48.747Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:36:48.747Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:36:49.553Z] Top recommended movies for user id 72:
[2026-01-20T23:36:49.553Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:36:49.553Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:36:49.553Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:36:49.553Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:36:49.553Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:36:49.553Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23642.557 ms) ======
[2026-01-20T23:36:49.553Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2026-01-20T23:36:49.553Z] GC before operation: completed in 160.884 ms, heap usage 931.281 MB -> 95.139 MB.
[2026-01-20T23:36:52.067Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:36:55.532Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:37:01.239Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:37:03.755Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:37:06.291Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:37:08.804Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:37:17.169Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:37:19.669Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:37:19.669Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:37:19.669Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:37:19.669Z] Top recommended movies for user id 72:
[2026-01-20T23:37:19.669Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:37:19.669Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:37:19.669Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:37:19.669Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:37:19.669Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:37:19.669Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (30529.216 ms) ======
[2026-01-20T23:37:19.669Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2026-01-20T23:37:20.447Z] GC before operation: completed in 155.089 ms, heap usage 1013.690 MB -> 95.567 MB.
[2026-01-20T23:37:23.005Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-01-20T23:37:26.469Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-01-20T23:37:32.164Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-01-20T23:37:34.660Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-01-20T23:37:36.269Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-01-20T23:37:37.884Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-01-20T23:37:41.350Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-01-20T23:37:43.008Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-01-20T23:37:43.785Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2026-01-20T23:37:43.785Z] The best model improves the baseline by 14.43%.
[2026-01-20T23:37:43.785Z] Top recommended movies for user id 72:
[2026-01-20T23:37:43.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2026-01-20T23:37:43.785Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2026-01-20T23:37:43.785Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2026-01-20T23:37:43.785Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2026-01-20T23:37:43.785Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2026-01-20T23:37:43.785Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23586.166 ms) ======
[2026-01-20T23:37:44.562Z] -----------------------------------
[2026-01-20T23:37:44.562Z] renaissance-movie-lens_0_PASSED
[2026-01-20T23:37:44.562Z] -----------------------------------
[2026-01-20T23:37:44.562Z]
[2026-01-20T23:37:44.562Z] TEST TEARDOWN:
[2026-01-20T23:37:44.563Z] Nothing to be done for teardown.
[2026-01-20T23:37:44.563Z] renaissance-movie-lens_0 Finish Time: Tue Jan 20 23:37:43 2026 Epoch Time (ms): 1768952263843